Environmental innovations heavily depend on government policies and consumers? behaviour. This paper addresses the issue of how these two factors interact in shaping the transition to a green technology. We extend models of technological selection with heterogeneous agents and learning by...

Within rich countries, a large dispersion in the capacity of generating environmental innovations appears correlated to the level of inequality. Previous works analyse the relationship between inequality and environmental quality in a static setting. This paper builds a dynamic model more...

This paper evaluates the wage effects of a tax credit policy on new hirings in Southern Italy. We use high-quality administrative data and propose a latent class inverse probability weighting method as a strategy to account for workers' unobserved heterogeneity. We find an unexpected negative...

This paper investigates the relationship between intergenerational inequality and differences in pay policies among firms. We examine whether the effects of parental background in firm selection contribute to the persistence of income inequality across generations, and particularly how this can...

The present study investigates the relationship between land vulnerability to desertification and the evolution of the productive structure in Italy during the last fifty years (1960-2010). The objectives of the study are two-fold: (i) to present and discuss an original analysis of the...

This paper contributes to the debate on income growth and distribution from a nonmainstream perspective. It looks, in particular, at the role that the degree of capacity utilization plays in the process of growth of an economy that is not perfectly competitive. The distinctive feature of the...

In this paper, we test the hypothesis that the causal effect of immigrant presence on anti-immigrant votes is a short-run effect. For this purpose, we consider a distributed lag model and adapt the standard instrumental variable approach proposed by Altonji and Card (1991) to a dynamic...

We present an exploratory machine learning analysis of populist votes at municipality level in the 2018 Italian general elections, in which populist parties gained almost 50% of the votes. Starting from a comprehensive set of local characteristics, we use an algorithm based on BIC to obtain a...